Data Warehouse Engineer

Nasze wymagania:

• Hands-on experience in Data Warehousing and data integration environments.
• Experience supporting, maintaining, or developing complex data platforms.
• Comfortable working in structured, process-driven environments with established quality standards.
• Ability to understand and navigate large-scale, highly integrated systems.
• Strong team player with a collaborative mindset and willingness to share knowledge.
• High attention to detail, accountability, and commitment to delivering quality solutions.
• Ability to work in an environment that requires a gradual learning curve and deep domain understanding.
• Practical experience with:
  • Oracle Database (RDBMS)
  • PL/SQL
  • Oracle Data Integrator (ODI)
  • Oracle GoldenGate
  • Java
  • Linux/Bash
  • Git
  • CI/CD tools and practices
  • Data Modelling and Data Warehousing concepts

Mile widziane:

• Experience within the Insurance or Financial Services sector.
• Basic knowledge of German.
• Experience supporting legacy system modernization or transformation initiatives.
• Experience working in small, highly specialized teams.
• Knowledge of data quality management, data lineage, and governance practices

O projekcie:

At Capgemini’s Insights & Data practice, we help organizations unlock the value of data, analytics, and modern technologies to make better business decisions. We deliver projects for global clients across various industries, combining deep technical expertise with a strong understanding of business processes. We are currently looking for a Data Warehouse Engineer to join a project delivered for a leading insurance client.

This role focuses on maintaining and enhancing mission-critical Data Warehouse solutions operating within a complex enterprise environment. You will join a small, highly skilled team where collaboration, knowledge sharing, and ownership play a key role in ensuring the reliability and long-term sustainability of the platform.

Zakres obowiązków:

• Maintain and enhance existing Data Warehouse solutions operating within a legacy environment.
• Support, monitor, and troubleshoot ETL/ELT processes and data integration pipelines.
• Analyze dependencies between systems and ensure consistency of data flows across the landscape.
• Implement changes in line with established standards, governance principles, and operational processes.
• Collaborate closely with team members to ensure platform stability and business continuity.
• Create and maintain technical documentation, specifications, and data lineage artifacts.
• Ensure high data quality, process reliability, and production system stability.
• Assess the impact of proposed changes on existing solutions and business processes.

Oferujemy:

Enjoyhybrid working modelthat fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Access to over 70 training trackswith certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.

Practical benefits:private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.

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